Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/ppo-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/ppo-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/ppo-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from sb3/ppo-AntBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 6.99 kB
-
https://huggingface.co/sb3/ppo-AntBulletEnv-v0/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://sb3/ppo-AntBulletEnv-v0/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/sb3/ppo-AntBulletEnv-v0/resolve/main/vec_normalize.pkl
6.99 kB
- Xet hash:
- b518cb8ba6453d6f4d420ab237f6061dd85d0b089ee42a1d2d07f8a3e9198343
- Size of remote file:
- 6.99 kB
- SHA256:
- c97c0c80e61301df7aa8790d819b741a4a07780be53d4d7c152688d09d0f4bcc
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